Iterative Studio

Iterative Studio is a web application that enables Machine Learning teams to seamlessly

• Run and track experiments
• Manage model lifecycle
• Collaborate on Machine Learning projects

It works on top of DVC and Git, maintaining Git as the single-source-of-truth for your data, experiments and models.

Sign in to Iterative Studio using your GitHub.com, GitLab.com, or Bitbucket.org account, or with your email address. Explore the demo projects and models, and let us know if you need any help getting started.

Why Iterative Studio?

• Simplify ML experiment tracking, visualization, and collaboration on top of Git.
• Keep your code, data and model connected at all times.
• Apply your existing software engineering stack for ML teams.
• Automate your ML process by transitioning to a no-code interface for running experiments on cloud resources of your choice.
• Build an ML model registry for transparency and discovery across all your projects.
• Because your model registry is built on top of Git, you can use GitOps for model deployment.